Invention Application
- Patent Title: HUMAN BEHAVIOR RECOGNITION SYSTEM AND METHOD USING HIERACHICAL CLASS LEARNING CONSIDERING SAFETY
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Application No.: US17565453Application Date: 2021-12-30
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Publication No.: US20220207920A1Publication Date: 2022-06-30
- Inventor: Junghyun CHO , Ig Jae KIM , Hochul HWANG
- Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
- Applicant Address: KR Seoul
- Assignee: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: KR Seoul
- Priority: KR10-2020-0189449 20201231
- Main IPC: G06V40/20
- IPC: G06V40/20 ; G06V10/82 ; G06V10/84

Abstract:
Embodiments relate to a human behavior recognition system using hierarchical class learning considering safety, the human behavior recognition system including a behavior class definer configured to form a plurality of behavior classes by sub-setting a plurality of images each including a subject according to pre-designated behaviors and assign a behavior label to the plurality of images, a safety class definer configured to calculate a safety index for the plurality of images, form a plurality of safety classes by sub-setting the plurality of images based on the safety index, and additionally assign a safety label to the plurality of images, and a trainer configured to train a human recognition model by using the plurality of images defined as hierarchical classes by assigning the behavior label and the safety label as training images.
Public/Granted literature
- US11954942B2 Human behavior recognition system and method using hierarchical class learning considering safety Public/Granted day:2024-04-09
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